Ashish Shrivastava

36 papers A* 5A 1B 2Misc 4Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. CoRR Bharat Singh, Viveka Kulharia, Luyu Yang, Avinash Ravichandran, Ambrish Tyagi, Ashish Shrivastava
2024	J	`jnl`	InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh
2024	J	`jnl`	VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff
2023	J	`jnl`	AptSim2Real: Approximately-Paired Sim-to-Real Image Translation. CoRR Charles Y. Zhang, Ashish Shrivastava
2023	—	`conf`	NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. ICCV (Workshops) Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai
2023	J	`jnl`	NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. CoRR Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai
2023	A*	`conf`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2023	J	`jnl`	SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2022	J	`jnl`	I see what you hear: a vision-inspired method to localize words. CoRR Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
2022	Misc	`conf`	SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. ICASSP Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2022	A*	`conf`	Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. ICML Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021	—	`conf`	Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling. EUSIPCO Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel
2021	Misc	`conf`	Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. ICASSP Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
2021	Misc	`conf`	SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. ICASSP Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2021	J	`jnl`	Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models. CoRR Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021	J	`jnl`	Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition. CoRR Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2020	J	`jnl`	Generating virtual images for promoting visual artificial intelligence. Neurocomputing Kunfeng Wang, Fei-Yue Wang, Visvanathan Ramesh, Ashish Shrivastava, David Vázquez, Fuxin Li
2020	J	`jnl`	Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric. CoRR Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
2020	J	`jnl`	SapAugment: Learning A Sample Adaptive Policy for Data Augmentation. CoRR Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2020	Misc	`conf`	Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. ICASSP Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2020	J	`jnl`	Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. CoRR Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2019	—	`conf`	Learning Conditional Error Model for Simulated Time-Series Data. CVPR Workshops Ashish Shrivastava, Oncel Tuzel
2018	J	`jnl`	Divide, Denoise, and Defend against Adversarial Attacks. CoRR Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel
2017	A*	`conf`	Learning from Simulated and Unsupervised Images through Adversarial Training. CVPR Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb
2016	J	`jnl`	Learning from Simulated and Unsupervised Images through Adversarial Training. CoRR Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb
2015	A*	`conf`	Class consistent multi-modal fusion with binary features. CVPR Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis
2015	J	`jnl`	Generalized Dictionaries for Multiple Instance Learning. Int. J. Comput. Vis. Ashish Shrivastava, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa
2015	J	`jnl`	Multiple kernel-based dictionary learning for weakly supervised classification. Pattern Recognit. Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel
2015	J	`jnl`	Non-linear dictionary learning with partially labeled data. Pattern Recognit. Ashish Shrivastava, Vishal M. Patel, Rama Chellappa
2015	—	`—`	Sparse Representation, Discriminative Dictionaries and Projections for Visual Classification. Ashish Shrivastava
2014	B	`conf`	Dictionary-based multiple instance learning. ICIP Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa
2014	J	`jnl`	Multiple Kernel Learning for Sparse Representation-Based Classification. IEEE Trans. Image Process. Ashish Shrivastava, Vishal M. Patel, Ramalingam Chellappa
2014	A	`conf`	Unsupervised domain adaptation using parallel transport on Grassmann manifold. WACV Ashish Shrivastava, Sumit Shekhar, Vishal M. Patel
2012	—	`conf`	Design of Non-Linear Discriminative Dictionaries for Image Classification. ACCV (1) Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa
2012	B	`conf`	Learning discriminative dictionaries with partially labeled data. ICIP Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa
2012	A*	`conf`	Segmenting "simple" objects using RGB-D. ICRA Ajay K. Mishra, Ashish Shrivastava, Yiannis Aloimonos